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Starred repositories
kaBeech / serious-shanns
Forked from dtinth/comic-mono-fontA legible monospace font for playful professionals. Comic Sans for hackers
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
[CVPR 2024 Highlight] Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding
An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
Official PyTorch implementation for "Large Language Diffusion Models"
Code and weights for the paper "Cluster and Predict Latents Patches for Improved Masked Image Modeling"
🪄 Create rich visualizations with AI
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.
Democratizing Reinforcement Learning for LLMs
Hypersubatomic is a high contrast UI and syntax theme for VSCode
A minimal GPU design in Verilog to learn how GPUs work from the ground up
A repository that contains all the Data Structures and Algorithms concepts and their implementation in several ways, programming questions and Interview questions. The main aim of this repository i…
Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.
🌾 OAT: A research-friendly framework for LLM online alignment, including preference learning, reinforcement learning, etc.
CeTZ: ein Typst Zeichenpaket - A library for drawing stuff with Typst.
"Deep Generative Modeling": Introductory Examples
The book "Performance Analysis and Tuning on Modern CPU"
A Framework of Small-scale Large Multimodal Models
Original implementation of "Radiant Foam: Real-Time Differentiable Ray Tracing"
Collection of resources for RL and Reasoning
Witness the aha moment of VLM with less than $3.