From solution build-out to production, we handle it end to end.๐
Deploying AI in the real world means more than training a model.
โฌ๏ธsee Demo
https://t.co/3CV2YzoqN8
#Manufacturing#IndustrialAutomation#AIPlatform#AI
Hi Nasim, Just read your paper Reliable Reasoning Beyond Natural Language โ really appreciated the clarity of the setup and the push beyond natural language limitations. It gave me a lot to think about.
We're working on Kepilot โ a lightweight agentic platform that instantly turns research repos into reproducible workflows. For example, we recently auto-configured DreamerV2 and launched it in under 6 minutes โ no setup, no Docker, no debugging loops.
We built it to save researchers like you time and friction โ so you can focus fully on reasoning, experimentation, and idea exploration.
If youโre ever curious to try it out โ or just want to jam on reproducibility bottlenecks โ Iโd love to connect.
Thanks for pushing the field forward โ truly inspiring.
๐ฅ GitHub Trending #1 today: Alibabaโs DeepResearch @Ali_TongyiLab
Auto-configure & reproduce it in minutes with Kepilot โ then chat your way through any research task.
โก๏ธ Paste the GitHub repo:
https://t.co/QL0YbVTxHb
โก๏ธ Into here:
https://t.co/0WUUOFEFeU
Happy researching! ๐
#GitHub #DeepResearch #AIagent #Kepilot
Just reproduced DreamerV3 in under 20 mins on Kepilot โ no coding background needed.
Big thanks to @Danijar for the wonderful model ๐ Sharing a quick run here ๐
Excited to share that DreamerV3 has been published in Nature!
Dreamer solves control tasks by imagining the future outcomes of its actions inside of a continuously learned world model ๐
It's the first agent to find diamonds in Minecraft from scratch without human data! ๐
๐
โ Reproduce, run, and tune this repo instantly โ zero setup, all via natural language using Kepilot.
BCNet tackles challenging 3D object segmentation tasks with a bilateral architecture that excels at occlusions and fine detail.
#ComputerVision#PyTorch#OpenSource#DevTools
Revolutionize face alignment with "cleardusk/3DDFA_V2" โ offering high-fidelity 3D Dense Face Alignment.
Solves precision challenges crucial for AR, VR, and biometric AI apps with its deep learning prowess based on #PyTorch.
โ Instantly reproduce, run, and tune with 0 Env setup on Kepilot! #AI #OpenSource #ComputerVision
Building environments & fixing dependencies shouldnโt take hours.With Kepilot, it runs in minutes.
Try it here ๐ https://t.co/y5TlETAX6i
Just message me "apply"
Weโll send you an invite code so you can join early,and shape the future of AI together.
#AI #Developers #Kepilot
Novena built a full cross-platform research assistant without writing a single line of code.
If she can, so can you.
Kepilot Private Beta โ 100 seats only
Reply apply below to join.
@AalokDThakkar All these issues solved by us! Our platform makes any GitHub repo instantly reproducible, you can interact with/save/share any GitHub repo through our platform. Future with no manual config for environments๐จโ๐ง
yeah cursor is borderline unusable now, really unfortunate
doesn't matter what model i use, the agent does like 10 tool calls (minimum) to read files randomly, even though i've added them all as context
extremely annoying
@SullyOmarr We solved this! we run GitHub repos with 60% chance of fully automated reproducibility + faster than Cursor + more GPU/CPU/storage available. Ask me questions ๐
Try KePilot: https://t.co/wsVneJxoHy
KePilot can reproduce complex GitHub repositories with a reproducibility rate of 60%, meaning it successfully runs most of the repositories without errors or manual configuration. On top of that, a growing database of preloaded environments for popular AI/ML papers allows you to launch them in minutes (currently, there are 9 papers available for you to try).
#AIResearch #LLM #CUDA #Docker #GitHub #ArtificialIntelligence
We compared KePilot with Cursor and GPT5 by giving a random GitHub repo link. We asked to reproduce the results and here is what we got:
1) KePilot time: 10min, task completion: completed
2) GPT5 time: 1 min, task completion: failed
3) Cursor time: 25min, task completion: failed
*
This repo requires significant GPU resources to run. Cursor wasnโt able to execute it properly because of these limitations. Moreover, Cursor requires human supervision to complete the task.
*
KePilot advantage:
- takes way less time to load and run the code
- able to reproduce GPU intensive repos
- 0 human supervision
Fill out an invitation form to try it yourself:
https://t.co/wsVneJxoHy
Become an early user!
GitHub repo used here as an example:
https://t.co/iboqrK418r
#ML #AIresearch #LLMs #MLengineer
@Kartik1178687 Hi! We are currently doing internal beta testing, once itโs ready, we are going to send out an application form to everyone interested. I will keep in mind that you are willing to try. Good luck with your coding journey ๐ค
Kepilot is a platform designed to simplify complex AI/ML research. It brings together all essential research tools in one interface and automatically sets up the environment for your project, which you can also customize directly in the web.
Additionally, Kepilot includes a database of ready-to-run environments for trending AI papers, making experimentation fast and seamless.
#AIResearch #LLM #largelanguagemodels #DataScience