Stars
The official Python library for the OpenAI API
An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.
Animation course with Manim
Repository for the free online book Machine Learning from Scratch (link below!)
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
A set of tool which would make your life easier with Tensorrt and Onnxruntime. This Repo is designed for YoloV3
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
GPU Accelerated t-SNE for CUDA with Python bindings
Graph Neural Network Library for PyTorch
PaDEL ws descriptors engine
A Jekyll theme inspired by Netflix. 🎬
End-to-End Object Detection with Transformers
R Package for 2D and 3D mapping and data visualization
Cut and paste your surroundings using AR
AI for discovering 100% valid drug like molecules, a combination of VAE-JTNN and bayesian optimization, an optimized Python 3 Version of Junction Tree Variational Autoencoder for Molecular Graph Ge…
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
Python 3 Version of Junction Tree Variational Autoencoder
This repository contains implementations and illustrative code to accompany DeepMind publications
This is a unofficial re-implementation of the paper "Few-Shot Adversarial Learning of Realistic Neural Talking Head Models"
My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.).
Our implementation of "Few-Shot Adversarial Learning of Realistic Neural Talking Head Models" (Egor Zakharov et al.)
In recent times, toxicological classification of chemical compounds is considered to be a grand challenge for pharma-ceutical and environment regulators. Advancement in machine learning techniques …
This is the code for "How to Simulate a Self-Driving Car" by Siraj Raval on Youtube
A Reinforcement Learning algorithm that drives a self driving car
Pytorch implementation of Self-Organizing Map(SOM). Use MNIST dataset as a demo.