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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
All Algorithms implemented in Python
A feature-rich command-line audio/video downloader
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Streamlit — A faster way to build and share data apps.
🔒 Consolidating and extending hosts files from several well-curated sources. Optionally pick extensions for porn, social media, and other categories.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
🗃 Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...
Python Implementation of Reinforcement Learning: An Introduction
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
A curated list of practical financial machine learning tools and applications.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Using the jedi autocompletion library for VIM.
Open Source Intelligence gathering tool aimed at reducing the time spent harvesting information from open sources.
Solving the Traveling Salesman Problem using Self-Organizing Maps
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
Minimal and Clean Reinforcement Learning Examples
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
DeepMind's Tacotron-2 Tensorflow implementation
A Python toolbox for gaining geometric insights into high-dimensional data