Machine learning, in numpy
- machine-learning
- neural-networks
- topic-modeling
- gaussian-mixture-models
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Machine learning, in numpy
Nano vLLM
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
🦉 Data Versioning and ML Experiments
The Cloud Native AI Platform
stable diffusion webui colab
Tensor library for machine learning
Face recognition with deep neural networks.
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
A hyperparameter optimization framework
This repository contains the source code for the paper First Order Motion Model for Image Animation
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
A toolkit for making real world machine learning and data analysis applications in C++
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Face recognition using Tensorflow
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
An open source implementation of CLIP.
[CVPR 2023] SadTalker:Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.