Neural Networks with Sparse Weights in Rust using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
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Updated
Jun 17, 2024 - Rust
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
Neural Networks with Sparse Weights in Rust using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
Tensors and Dynamic neural networks in Python with strong GPU acceleration
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A project focusing on binary classification using Explainable Artificial Intelligence (XAI) methods, specifically SHAP (SHapley Additive exPlanations), and Grid Search for hyperparameter tuning. The project utilizes EfficientNetV2-B0 architecture on the Cat VS Dog dataset.
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
An Open Source Machine Learning Framework for Everyone
CS 182 Spring 2019 - Assignment 2
Safe and Performant Scientific Computing Library
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
StarCraft II Replay Serialization and Dataloading Framework
Explicitly Parameterized Neural Networks in Julia
Les intelligences artificielles
Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of 🤗Huggingface.
A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.
🤖 Collect practical AI repos, tools, websites, papers and tutorials on AI. 实用的AI百宝箱 💎
An ASL detection script utilizing a TensorFlow image classification model trained from scratch. It is tailored to recognize American Sign Language (ASL) alphabet letters from live video streams, and provides documentation covering the neural network architecture, installation, dataset details, training procedures, and real-time detection.
Deep Learning for humans
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
MINERS ⛏️: The semantic retrieval benchmark for evaluating multilingual language models.