A large-scale 7B pretraining language model developed by BaiChuan-Inc.
Repository Index
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Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
- artificial-intelligence
- deep-learning
- attention-mechanism
- text-to-image
The official documentation for Raspberry Pi computers and microcontrollers
- raspberry-pi
- raspberry-pi-camera
- raspberry-pi-pico
- documentation
SwinIR: Image Restoration Using Swin Transformer (official repository)
- image-super-resolution
- image-denoising
- compression-artifact-reduction
- image-deblocking
Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes
- privacy-protection
- privacy-enhancing-technologies
- face-recognition
- adversarial-machine-learning
Transparent and Efficient Financial Analysis
- financial-statements
- stock-data
- fundamental-analysis
- fundamentals
A social networking service scraper in Python
- python
- scraper
- social-network
- social-media
🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents.
- agent-based-framework
- agent-based-simulation
- large-language-models
- large-scale
Build Graph Nets in Tensorflow
- graph-networks
- graphs
- deep-learning
- neural-networks
TranslatedFree and open-source A-share quantitative trading database; focused on A-shares, focused on quantification, living toward the sun; open, clean, continuous, generating power for Ai (爱, "love"/AI). Born for personal quantitative trading, defend 3000 points, cherish the opportunities at the bottom...... [stock data, stock market data, stock quantitative data, stock trading data, candlestick (K-line) market data, stock concept data, stock data API, market data API, quantitative trading data] [multi-data-source fusion, dynamic proxy settings, ensuring high data availability]
- stock
- a
- 3000
- financial
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
- deep-learning
- neural-network
- coursera
- andrew-ng
StarGAN - Official PyTorch Implementation (CVPR 2018)
- stargan
- pytorch
- image-to-image-translation
- generative-models
Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.
- python3
- machine-learning
- face-recognition
- social-media
Official git repository for Biopython (originally converted from CVS)
- python
- bioinformatics
- genomics
- biopython
Probabilistic time series modeling in Python
- time-series
- deep-learning
- forecasting
- neural-networks
An autonomous, context-aware AI desktop companion. Built with Python, featuring real-time screen vision, custom ONNX voice synthesis, active window tracking, and a dynamic floating UI with reactive facial expressions.
- ai
- ai-agent
- ai-companion
- artificial-intelligence
A PyTorch Library for Accelerating 3D Deep Learning Research
- pytorch
- 3d-deep-learning
- neural-networks
- differentiable-rendering
A library of extension and helper modules for Python's data analysis and machine learning libraries.
- python
- machine-learning
- data-science
- data-mining
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
- pytorch
- resnet
- inception-resnet
- face-recognition
Download and generate EPUB of your favorite books from O'Reilly Learning (aka Safari Books Online) library.
- python
- epub
- calibre
- safaribooksonline
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
Time series forecasting with PyTorch
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
- machine-learning
- trading
- investing
- research