Pinned Repositories
450-DSA
450-DSA helps you track your progress in solving 400+ DSA questions and keeps you engaging based on DSA-Cracker Sheet ⚡
alg
Algorithms in Go and Rust
arbiter
A bash script to extract, compile&log and run&log C++ code
autogen
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
aws-eks-best-practices
A best practices guide for day 2 operations, including operational excellence, security, reliability, performance efficiency, and cost optimization.
clean-cpp
Base code to be used for new C++ projects.
excel_code_generator
Generates 8 digit numbers for a given one column excel file
lsof-linux
The official but temporary repository of linux part of lsof
random_generator_service
cpprestsdk based service generating random numbers
rng
rng with drogon
eranik's Repositories
eranik/450-DSA
450-DSA helps you track your progress in solving 400+ DSA questions and keeps you engaging based on DSA-Cracker Sheet ⚡
eranik/autogen
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
eranik/aws-eks-best-practices
A best practices guide for day 2 operations, including operational excellence, security, reliability, performance efficiency, and cost optimization.
eranik/chameleon
Repository for Meta Chameleon a mixed-modal early-fusion foundation model from FAIR.
eranik/crossplane
Cloud Native Control Planes
eranik/cuda-quantum
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
eranik/deepops
Tools for building GPU clusters
eranik/ebpfsnitch
Linux Application Level Firewall based on eBPF and NFQUEUE.
eranik/fabric
Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy.
eranik/faiss
A library for efficient similarity search and clustering of dense vectors.
eranik/fucking-algorithm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
eranik/gorilla
Gorilla: An API store for LLMs
eranik/Grokking-the-Coding-Interview-Patterns-for-Coding-Questions
eranik/kubernetes-on-aws
Deploying Kubernetes on AWS with CloudFormation and Ubuntu
eranik/kubesphere
The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️
eranik/LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
eranik/llama_parse
Parse files for optimal RAG
eranik/llm-graph-builder
Neo4j graph construction from unstructured data
eranik/MiniCPM-V
MiniCPM-Llama3-V 2.5: A GPT-4V Level Multimodal LLM on Your Phone
eranik/mlc-llm
Universal LLM Deployment Engine with ML Compilation
eranik/NeMo-Curator
Scalable toolkit for data curation
eranik/pluto
A cli tool to help discover deprecated apiVersions in Kubernetes
eranik/polaris
Validation of best practices in your Kubernetes clusters
eranik/pybind11
Seamless operability between C++11 and Python
eranik/qiskit
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
eranik/schedule_free
Schedule-Free Optimization in PyTorch
eranik/TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
eranik/torchquantum
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
eranik/vectordb-recipes
High quality resources & applications for LLMs, multi-modal models and VectorDBs
eranik/vllm
A high-throughput and memory-efficient inference and serving engine for LLMs