ziqinyeow

ziqinyeow's Stars

• scylladb/1m-ops-demo

  1 million operations/second ScyllaDB demo

  Language:HCL147

• scylladb/seastar

  High performance server-side application framework

  Language:C++8.4k1.5k

• SylphAI-Inc/AdalFlow

  AdalFlow: The library to build & auto-optimize LLM applications.

  Language:Python1.8k160

• quixio/template-vector-cdc-weaviate

  Change Data Capture (CDC) Tutorial: PostgreSQL to Weaviate via Kafka

  Language:Python21

• QwenLM/Qwen2.5

  Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.

  Language:Shell9.2k571

• astral-sh/uv

  An extremely fast Python package and project manager, written in Rust.

  Language:Rust24.8k715

• meta-llama/llama-stack

  Model components of the Llama Stack APIs

  Language:Python4k530

• airscholar/changecapture-e2e

  This project shows how to capture changes from postgres database and stream them into kafka

  Language:Python3018

• lamini-ai/Lamini-Memory-Tuning

  Banishing LLM Hallucinations Requires Rethinking Generalization

  26011

• mem0ai/mem0

  The Memory layer for your AI apps

  Language:Python22.6k2.1k

• NirDiamant/RAG_Techniques

  This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

  Language:Jupyter Notebook8.2k825

• kodekloudhub/certified-kubernetes-security-specialist-cks-course

  Notes from the Certified Kubernetes Security Specialist Course on KodeKloud

  483575

• testcontainers/testcontainers-go

  Testcontainers for Go is a Go package that makes it simple to create and clean up container-based dependencies for automated integration/smoke tests. The clean, easy-to-use API enables developers to programmatically define containers that should be run as part of a test and clean up those resources when the test is done.

  Language:Go3.6k500

• open-thought/system-2-research

  System 2 Reasoning Link Collection

  67654

• grantjenks/python-sortedcontainers

  Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set

  Language:Python3.5k205

• kubernetes-sigs/secrets-store-csi-driver

  Secrets Store CSI driver for Kubernetes secrets - Integrates secrets stores with Kubernetes via a CSI volume.

  Language:Go1.3k293

• facebookresearch/sam2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook12k1.1k

• pipecat-ai/rtvi-web-demo

  Example UI implementing the RTVI web client

  Language:TypeScript47169

• gpu-mode/lectures

  Material for gpu-mode lectures

  Language:Jupyter Notebook2.9k288

• microsoft/Olive

  Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.

  Language:Python1.6k165

• samber/lo

  💥 A Lodash-style Go library based on Go 1.18+ Generics (map, filter, contains, find...)

  Language:Go17.8k822

• y-scope/clp

  Compressed Log Processor (CLP) is a free log management tool capable of compressing logs and searching the compressed logs without decompression.

  Language:C++86270

• EurekaLabsAI/mlp

  The Multilayer Perceptron Language Model

  Language:Python52045

• karpathy/LLM101n

  LLM101n: Let's build a Storyteller

  29.5k1.6k

• zou-group/textgrad

  TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

  Language:Python1.8k150

• toss/es-toolkit

  A modern JavaScript utility library that's 2-3 times faster and up to 97% smaller—a major upgrade to lodash.

  Language:TypeScript6.6k299

• milvus-io/milvus

  A cloud-native vector database, storage for next generation AI applications

  Language:Go30.2k2.9k

• nhost/nhost

  The Open Source Firebase Alternative with GraphQL.

  Language:TypeScript7.9k461

• celery/celery

  Distributed Task Queue (development branch)

  Language:Python24.8k4.7k

• embeddings-benchmark/mteb

  MTEB: Massive Text Embedding Benchmark

  Language:Jupyter Notebook1.9k258