From scratch implementation of a vision language model in pure PyTorch
Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)
↻ Keeps ChatGPT sessions fresh to avoid network errors + Cloudflare checks
Creating animation sequences between sparse key frames using motion phase features.
Implementation of different summarization algorithms applied to legal case judgements.
Pytorch implementation of the models RT-1-X and RT-2-X from the paper: "Open X-Embodiment: Robotic Learning Datasets and RT-X Models"
An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up processing, and a...
Use Large Language Models in Your React App
Official code for NeurIPS2023 paper: CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection
A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems
Compile-time creation of neural networks
Code for Java Deep Learning Cookbook
DaVinci - The ChatGPT AI Virtual Assistant
Seamlessly integrate state-of-the-art transformer models into robotics stacks
a python grammar for evolutionary algorithms and heuristics
🧬 A JupyterLab extension for annotating data with Prodigy
Parse SEC EDGAR HTML documents into a tree of elements that correspond to the visual (semantic) structure of the document.
An API for DALLE-3
Playground for various AI projects and demos
Distributed DAG (Directed acyclic graph) framework for machine learning with UI
Become a Certified Unicorn Developer and Participant in the API Token Economy
Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
Xcode client for TabNine.
Student–Teacher Anomaly Detection with Discriminative Latent Embeddings
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Reg...
A small, self-contained minesweeper solver written in Java
AI projects in python, mostly Jupyter notebooks.
CNN image classifier implemented in Keras Notebook 🖼️.
最全的中文版深度学习资源索引,包括论文,慕课,开源框架,数据集等等
This is my reading list for my PhD in AI, NLP, Deep Learning and more.
A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical...
Hal9 — Create and Share Generative Apps
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding
CEP is a software platform designed for users that want to learn or rapidly prototype using standard A.I. components.
QANTA Quiz Bowl AI
website, lectures, and other material for Columbia University course "data: past, present, and future"
Autodifferentiation package in Rust.
TensorFlow C API Class Wrapper in Server Side Swift.
A Compositional Object-Based Approach to Learning Physical Dynamics
Free and open source A.I. system based on Python, TensorFlow and Prolog.
100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
Implementation of Fast Transformer in Pytorch
Board game AI implementations using Monte Carlo Tree Search
Technical blog repo of metaflow
List of interesting articles on different topics of machine learning and deep learning
:unlock: :key: :closed_lock_with_key: Origami: Artificial Intelligence as a Service