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I've posted a Tutorial on using Runtime Compiled C++ with Dear ImGui and DirectX11 on https://www.enkisoftware.com/devlogpost-20200202-1-Runtime-Compiled-C++-Dear-ImGui-and-DirectX11-Tutorial … Comes with full source code on Github, with branches for each stage of the tutorial along with videos.
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Given that data loading can be a major bottleneck in many DL projects, this sounds like an interesting project to check out: "Accelerating Pytorch with Nvidia DALI" --> "on small models it's ~4X faster than the Pytorch dataloader"https://github.com/yaysummeriscoming/DALI_pytorch_demo …
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An Opinionated Guide to ML Research: “To make breakthroughs with idea-driven research, you need to develop an exceptionally deep understanding of your subject, and a perspective that diverges from the rest of the community—some can do it, but it’s hard.” http://joschu.net/blog/opinionated-guide-ml-research.html …pic.twitter.com/fyO6cyr9im
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Towards Open-Set Semantic Segmentation of Aerial Images. http://arxiv.org/abs/2001.10063 pic.twitter.com/CTzdPtEUXb
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After 2+ years in stealth, we’re excited to launch today! https://covariant.ai Thank you to our team, customers, partners and investors, we couldn’t have done it w/o your support and trust. Exciting milestone, even more exciting journey ahead!https://medium.com/covariant-ai/bringing-robots-from-lab-to-the-real-world-56062ee93dd5 …
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"Bringing Stories Alive: Generating Interactive Fiction Worlds”
@rajammanabrolu made a text-adventure game world generator. The online demo is live! Paper: https://arxiv.org/abs/2001.10161 Code: https://github.com/rajammanabrolu/WorldGeneration … Demo: http://evennnia-textgame.com/ pic.twitter.com/okNvfwSJZw
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What if we see level generation as a game, where each action changes the level in some way? Well, we could use RL to learn to "play" level generation! We introduce Procedural Content Generation via Reinforcement Learning (PCGRL), a new paradigm for PCG. https://arxiv.org/abs/2001.09212 pic.twitter.com/J9c8O5EIM7
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We tie 6 strongly simplified RNN layers in a CPU-optimized transformer hybrid with very little quality loss. Been doing that for two years now in production, wrote about it only now :)https://www.aclweb.org/anthology/D19-5632/ …
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Introducing
#MeenaBot, a 2.6B-param open-domain chatbot with near-human quality. Remarkably, we show strong correlation between perplexity & humanlikeness! Paper: https://arxiv.org/abs/2001.09977 Sample conversations: https://github.com/google-research/google-research/tree/master/meena … https://twitter.com/GoogleAI/status/1222230622355087360 …pic.twitter.com/3xNSV4r4uB
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Wow, more than 200 NLP datasets – this is gold. https://quantumstat.com/dataset/dataset.html … Made by
@Quantum_Stat Seen:@pandeyparulpic.twitter.com/ZDxazkBLOp
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This looks pretty interesting Neurons in Visual Cortex are Driven by Feedback Projections when their Feedforward Sensory Input is Missing https://www.biorxiv.org/content/10.1101/2020.01.24.919142v1 …pic.twitter.com/8p59hN9h8O
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A Large Scale Event-based Detection Dataset for Automotive. http://arxiv.org/abs/2001.08499 pic.twitter.com/998ED1ZAH9
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PyHessian from
@ucbrise is a new scalable framework that enables fast computation of Hessian information for deep neural networks: "by computing finer-scale Hessian-based statistics, we show that in some cases conventional understanding ... is not correct"https://github.com/amirgholami/PyHessian …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning https://deepai.org/publication/interpretable-end-to-end-urban-autonomous-driving-with-latent-deep-reinforcement-learning … by Jianyu Chen et al.
#ReinforcementLearning#ComputerScienceHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Fascinating. I'm really surprised Google is using depthwise convs so much in their research, when it performs so badly on their TPUs. https://twitter.com/timothy_lkh_/status/1221085171212079106 …pic.twitter.com/f51mI4LPEq
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StyleGAN2 Ultimate Edition:
Conditional training
FP16
Non-square and compressed TFRecord images
Colab Examples
Beta TPU/Swarm training
And More!
https://github.com/pbaylies/stylegan2 …https://twitter.com/pbaylies/status/1221183407662780416 …
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We just released a large public dataset of >10k echocardiogram videos with clinical annotations https://echonet.github.io/dynamic/ . Great resource for the medical ML community!pic.twitter.com/rmdIYtFBv3
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I am teaching Applied Computational Genomics (geared towards early stage graduate students) again this semester. I am slowly updating the slides and posting recordings to youtube.https://github.com/quinlan-lab/applied-computational-genomics …
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Check out the new release of NumPyro https://github.com/pyro-ppl/numpyro/releases/tag/v0.2.4 …. This includes an implementation of
@nicola_decao's Block Neural Autoregressive Flow in JAX and its usage in MCMC. Also, let us know what you think about the new Sample Adaptive MCMC sampler.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Do dendrites compute partial derivatives? Three options: (1) They do. (2) They don’t because it is too complex for dendrites. (3) Evolution found another way which violates everything we know about physics. I am in favour of (1) and very skeptical of (2) and (3).
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