🔎 Hunt down social media accounts by username across social networks
🦔 PostHog is developer-friendly, open-source product analytics.
A list of awesome applications, software, tools and other materials for Linux distros.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
Depth-Aware Video Frame Interpolation (CVPR 2019)
Updog is a replacement for Python's SimpleHTTPServer. It allows uploading and downloading via HTTP/S, can set ad hoc SSL certificates and use http basic auth.
Trax — your path to advanced deep learning
A collective list of free APIs for use in software and web development.
All Algorithms implemented in Python
FastAPI framework, high performance, easy to learn, fast to code, ready for production
DeepFaceLab is the leading software for creating deepfakes.
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
:art: Diagram as Code for prototyping cloud system architectures
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
A bitmap programming font optimized for coziness 💜
Deepfakes Software For All
Python dependency management and packaging made easy.
A game engine powered by python and panda3d.
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Streamlit — The fastest way to build custom ML tools
An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
A Fast, Extensible Progress Bar for Python and CLI
The world's simplest facial recognition api for Python and the command line
Animation engine for explanatory math videos
spaCy plugin for Transformers , Udify, ELmo, etc.
A simple method to perform semi-supervised learning with limited data.
a high-performance, high-precision CPU and memory profiler for Python
Visualizations of the connections between chaos theory and fractals through the logistic map; made for Veritasium YouTube video
Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second.
Fork of Flask-RESTPlus: Fully featured framework for fast, easy and documented API development with Flask
DDSP: Differentiable Digital Signal Processing
A general purpose community detection and network embedding library for research built on NetworkX.
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
Reformer, the efficient Transformer, in Pytorch
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Command-line program to download videos from YouTube.com and other video sites
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Define and run multi-container applications with Docker
This tool serializes the output of popular gnu linux command line tools and file types to structured JSON output. This allows piping of output to tools like jq.
Transformers made simple with training, evaluation, and prediction possible with one line each. Currently supports Sequence Classification (binary, multiclass, multilabel, sentence pair), Token Classification (NER), Question Answering, and Regression tasks. Built on top of the Hugging Face Transformer library.
The Python programming language
NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)
An open-source NLP research library, built on PyTorch.
matplotlib: plotting with Python
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.