Your new Mentor for Data Science E-Learning.
- tensorflow
- machine-learning
- machine-vision
- datascience
47,133 repositories indexed
289–312 of 1,548 · Most stars
Your new Mentor for Data Science E-Learning.
This repository contains the source code for the paper First Order Motion Model for Image Animation
Natural Language Processing Tutorial for Deep Learning Researchers
Learn ML engineering for free in 4 months! Register here 👇🏼
TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Rust By Practice will evolve into Origin.
Python Implementation of Reinforcement Learning: An Introduction
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
NLTK Source
:books: Learn to write an embedded OS in Rust :crab:
Image augmentation for machine learning experiments.
A list of all named GANs!
Open-source simulator for autonomous driving research.
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
A toolkit for making real world machine learning and data analysis applications in C++
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A very simple framework for state-of-the-art Natural Language Processing (NLP)
TranslatedTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-Transfer learning
:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
Face recognition using Tensorflow
A pattern-based approach to learn technical interview questions
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville