AI Agent Skills

GPU-accelerated terminal board that puts all your sessions on an infinite canvas

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

cuCIM - RAPIDS GPU-accelerated image processing library

cuFOLIO is a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling modern investment workflows with NVIDIA cuOpt and CUDA-X Data Science.

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumP…

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python,…

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathema…

Linux运维监控工具，支持系统硬件信息，内存，CPU，温度，磁盘空间及IO，硬盘smart，GPU，防火墙，网络流量速率等监控，服务接口监测，大屏展示，拓扑图，端口监控，进程监控，docker监控，日志监控，文件防篡改，数据库监控，指令批量下发执行，web ssh，Linux面板(探针)，告警，SNMP监测，K8S，Redis，Ngi…

Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model w/multiplatform CPU, AMD, NVIDIA GPU PyTorch support, handling, and auto-stitching

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, Ten…

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

Modular ZK(Zero Knowledge) backend accelerated by GPU

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices