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A comprehensive video analysis tool that combines computer vision, audio transcription, and natural language processing to generate detailed descriptions of video content. This tool extracts key fr…
This is the official implementation of our paper "Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension"
Official implementation for "A Simple LLM Framework for Long-Range Video Question-Answering"
Code for LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
A large-scale simulation framework for LLM inference
A comic browser，support Android / iOS / MacOS / Windows / Linux.
Lightweight Armoury Crate alternative for Asus laptops and ROG Ally. Control tool for ROG Zephyrus G14, G15, G16, M16, Flow X13, Flow X16, TUF, Strix, Scar and other models
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.
[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling
cluster data collected from production clusters in Alibaba for cluster management research
A Gymnasium environment for simulating job scheduling in Apache Spark
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Code and models for NExT-GPT: Any-to-Any Multimodal Large Language Model
Running large language models on a single GPU for throughput-oriented scenarios.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
Tensorflow implementation of paper 'Learning Representations for Time Series Clustering' (NIPS 2019 accept paper).
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
An elegant PyTorch deep reinforcement learning library.