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2026 AI/ML internship & new graduate job list updated daily
[CVPR 2025] Official Repository for Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
Awesome-llm-role-playing-with-persona: a curated list of resources for large language models for role-playing with assigned personas
Video Question Answering | Video QA | VQA
Implementation of Danijar's latest iteration for his Dreamer line of work
🎥 Python and OpenCV-based scene cut/transition detection program & library.
[WSC 2025 Oral] Official Repo for "A data-driven discretized CS:GO simulation environment to facilitate strategic multi-agent planning research"
Official Repo of "MMBench: Is Your Multi-modal Model an All-around Player?"
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
Muon is an optimizer for hidden layers in neural networks
LiveCC: Learning Video LLM with Streaming Speech Transcription at Scale (CVPR 2025)
BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically ground…
A minimal implementation of DeepMind's Genie world model
[EMNLP 2025 Main] Official Repo for Paper: "Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations"
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
Align Anything: Training All-modality Model with Feedback
Comprehensive suite for evaluating perturbation prediction models
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
pytorch dataloaders for single-cell perturbation data
UCE is a zero-shot foundation model for single-cell gene expression data
An extremely fast Python package and project manager, written in Rust.
State is a machine learning model that predicts cellular perturbation response across diverse contexts
PyTorch code and models for VJEPA2 self-supervised learning from video.
🔥🔥🔥 [IEEE TCSVT] Latest Papers, Codes and Datasets on Vid-LLMs.
Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support