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JetBrains AI Assistant

2023
JetBrains

Explore JetBrains AI Assistant: context-aware code generation, advanced completion, automated test creation, AI chat and more.

ai-toolsai-codingmcpmcp-client
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Vercel AI SDK

2023
Vercel

TypeScript toolkit from Vercel for building streaming, multi-provider AI applications across React, Next.js, Vue, Svelte, and more.

ai-developmentai-libraryai-agent
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TypingMind

2023
Tony Dinh

Your personal AI workspace—the best chat UI for ChatGPT, Gemini, Claude and more.

ai-toolsmcpmcp-clientai-client
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One API

2023
Song Quanpeng

One API is a self-hosted key-management and distribution gateway that unifies OpenAI-style access to dozens of LLM providers, enabling centralized quota, billing and user management through a single binary or Docker image.

ai-developmentai-apiai-api-management
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Xinference

2023
Xprobe Inc.

Xorbits’ universal inference layer (library name `xinference`) that deploys and serves LLMs and multimodal models from laptop to cluster.

ai-developmentai-inferenceai-serving
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LiteLLM

2023
BerriAI

LiteLLM is an open-source LLM gateway and Python SDK that lets developers call more than 100 commercial and open-source models through a single OpenAI-compatible interface, complete with cost tracking, rate-limiting, load-balancing and guardrails.

ai-developmentai-apiai-api-management
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Open WebUI

2023
Tim Röttig, Open WebUI Contributors

Self-hosted, extensible AI chat platform and Ollama/OpenAI interface.

ai-toolsai-client
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fast-agent

2023
Evalstate

fast-agent lets you define, prompt and test sophisticated agents and workflows with full MCP support in minutes.

ai-toolsmcpmcp-clientai-agent
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TensorRT-LLM

2023
NVIDIA

NVIDIA’s open-source library that compiles Transformer blocks into highly-optimized TensorRT engines for blazing-fast LLM inference on NVIDIA GPUs.

ai-developmentai-inferenceai-servingnvidia

Deep Learning: Foundations and Concepts

2023
Chris Bishop, Hugh Bishop

The book introduces core principles and theoretical foundations behind deep learning, bridging the gap between classical machine learning and modern neural networks. It explains key architectures, optimization techniques, and mathematical frameworks that underpin today’s AI systems. By combining rigorous treatment with accessible explanations, it empowers researchers and practitioners to understand not just how deep models work, but why. Its impact lies in deepening the academic rigor of the field, shaping curricula, and guiding both industry innovation and the next generation of AI breakthroughs.

foundationbook
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FlashInfer

2023
FlashInfer Team

CUDA kernel library that brings Flash-attention-style optimizations to any LLM serving stack.

ai-developmentai-inferenceai-serving
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CrewAI

2023
João Moura

High-performance Python framework and platform for orchestrating collaborative agent “crews”.

ai-developmentai-frameworkai-libraryai-agentLLM
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