machine-learning

Ollama Cloud is a Highly Scalable Cloud-native Stack for Ollama

Implementation of the paper "Language-agnostic representation learning of source code from structure and context".

Repository for CARTE: Context-Aware Representation of Table Entries

Python toolkit for Chinese LLMs, with flexible batch capacity, structured real-time visulization and automated accumulation for streaming, and explicit feedback on vendor-native parameter validation.

Automatically detect in-video YouTube sponsorships, self/unpaid promotions, and interaction reminders.

A high-performance RL training-inference weight synchronization framework, designed to enable second-level parameter updates from training to inference in RL workflows

Run any Large Language Model behind a unified API

a curated list of high-quality papers on resource-efficient LLMs 🌱

A curated reading list of research in Adaptive Computation, Inference-Time Computation & Mixture of Experts (MoE).

Modern Animated SaaS Generative AI Landing Page.

Corpus of resources for multimodal machine learning with physiological signals (mmps).

A full-stack AI helpdesk platform that uses machine learning, NLP, and OCR to automatically analyze support requests, detect similar incidents, and help teams resolve technical issues faster.

Unofficial JAX implementations of deep learning research papers

Using Transformers from HuggingFace in R

A curated collection of AI learning materials

An overview of the AI-as-a-service landscape

Confidence and Byt5 - based geotagging model predicting coordinates from text alone.

[NeurIPS 2024] CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Chinese speech recognition

Reduce logs to their semantic anomalies